128 phd-sandwitch-in-architecture-and-built-environment Fellowship positions in london
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create knowledge. We are looking for an early career researcher or PhD student at their final stages to work with us in the UKRI CHAILD project. CHAILD is UKRI-funded project that aims to establish a
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research independence. Candidates are expected to have no more than four years of post-PhD research experience. Extensions to this time period will be considered in circumstances that support our commitment
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field. The successful applicant will be a nationally recognised authority in molecular epidemiology and possess
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Language Sciences. The lab comprises of a team of researchers and PhD students led by Prof Ayelet N. Landau. We research the psychological and neural mechanisms of attention, time perception with a specific
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papers and will join a multi-disciplinary team in a friendly, supportive and collaborative environment with a range of opportunities for engaging and helping shape diverse research projects, supporting
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approach to problem solving. The post is funded for 2 years in the first instance. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be
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have a PhD in Neuroscience, Biology, or a related area, and experience in neurobiology research and in reprogramming and differentiating neurons from patient-derived induced pluripotent stem cells (iPSCs
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will have a PhD or equivalent experience in statistics, medical statistics, or a related mathematical field Knowledge and experience of randomised controlled trials, including adaptive trial design and
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Extensive experience working in bioinformatics with large